Symmetry of Fuzzy Data

Hagit Zabrodsky; Shmuel Peleg; David Avnir

doi:10.1109/ICPR.1994.576336

Symmetry of Fuzzy Data

Hagit Zabrodsky, Shmuel Peleg, David Avnir

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

Abstract

Symmetry is usually viewed as a discrete feature: an object is either symmetric or non-symmetric. Following the view that symmetry is a continuous feature, a Continuous Symmetry Measure (CSM) has been developed io evaluate symmetries of shapes and objects. In this paper we extend the symmetry measure to evaluate the imperfect symmetry of fuzzy shapes, i.e shapes with uncertain point localization. We find the probability distribution of symmetry values for a given fuzzy shape. Additionally, for every such fuzzy shape, we find the most probable symmetric shape.

Original language	English
Pages (from-to)	499-504
Number of pages	6
Journal	Proceedings - International Conference on Pattern Recognition
Volume	1
DOIs	https://doi.org/10.1109/ICPR.1994.576336
State	Published - 1994
Event	Proceedings of the 12th IAPR International Conference on Pattern Recognition. Part 1 (of 3) - Jerusalem, Isr Duration: 9 Oct 1994 → 13 Oct 1994

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© 1994 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

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Symmetry of Fuzzy Data

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